Practical session reviewing the next evolution of robotic process automation (RPA) and the expanded value it can deliver supported by artificial intelligence (AI) Review business interest in advancing RPA with AI Explore the complementary strengths and weaknesses of RPA & AI Present the future of RPA in the form of Intelligent Automation powered by AI Discuss how your business can implement such capabilities Part 5 of a 9 Part Research Series named "What matters in AI" published on https://www.andremuscat.com

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INTELLIGENT
AUTOMATION (IA)
WHAT MATTERS IN
ARTIFICIAL INTELLIGENCE SERIES

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What matters in AI Series
For executives needing to understand the macro and strategic trends in artificial intelligence, its
opportunities and impact from a non-technical perspective.
WHAT MATTERS IN AI SERIES
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative
AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to
build solutions
with AI
Capabilities
7
Stakeholder
Engagement
in AI Work
8
Risk
Management
in AI Work
9
The Future
of
Productivity
4

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 Review business interest in advancing RPA with AI
 Explore the complementary strengths and weaknesses of
RPA & AI
 Present the future of RPA in the form of Intelligent
Automation powered by AI
 Discuss how your business can implement such
capabilities
TODAY’S AGENDA
INTELLIGENT AUTOMATION
Practical session reviewing the next evolution of robotic process automation
(RPA) as supported by novel approaches enabled by artificial intelligence (AI)

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EARLIER IN THE SERIES WE MENTIONED IA
Artificial
Intelligence
Business
Process
Management
Robotic
Process
Automation
Intelligent
Automation

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BUSINESSES THAT EMBRACED AUTOMATION → EMBRACING AI
Source: IDC, 2019
4.50
2.70 2.70
2.30 2.20
0
2
4
6
Automated customer service
agents
Sales process
recommendation and
automation
Automated threat intelligence
and prevention systems
Program advisors and
recommendation systems
Automated preventive
maintenance
SPEND IN BILLIONS USD

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MARRYING STRENGTHS → INTELLIGENT AUTOMATION
ROBOTIC PROCESS
AUTOMATION
(RPA)
…the brawn
ARTIFICIAL
INTELLIGENCE
(AI)
…the brains
• Capturing data filled in forms
• Filling in forms
• Accessing legacy system data
• Copying data from one system to another
• Validating data entered correctly
• Scraping data (Documents, Online, forms)
• Make data available for machine learning & AI
• Learning from human decisions
• Making fast judgements
• Interacting with humans
• Identifying higher-value tasks
• Continuously improve
performance
Keyword-based human
interaction (e.g.. via chat)
Rule-based “decision”
making
Process execution /
orchestration
Data Collection
Data Preparation
Predictive Analytics
Machine Learning
Deep Learning
Autonomous Computing
Emotional recognition
Natural Language Processing
Speech, video, & image
recognition

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COMPLEMENTARY APPROACHES TO PROBLEM SOLVING
ROBOTIC PROCESS AUTOMATION (RPA)
Automate easy tasks and make broad data
sources accessible to AI
ARTIFICIAL INTELLIGENCE (AI)
Learns to mimic and improve processes
based on data handed over from RPA
Non-invasively mimics user’s activity
Inspiration source: Everest Group
Can process structured and some semi-structured data
(e.g. just sound files vs. tagged text extracted from the sound files
Automation is built on rules
Highly deterministic
Agent-assist or digital work models
Mimics human thought processes through vision,
language and pattern detection
Can process structured, semi-structured, and
unstructured data
Can learn or change behaviour over time without being explicitly
programmed. Learns and re-learns based on data collected
Probabilistic at heart, using safeguards to make it deterministic
Point Solutions, not broad-based capability (Narrow AI)

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INTELLIGENT AUTOMATION
AI TAKING RPA TO THE NEXT LEVEL
Hi-Value RPA
Robotic Process
Automation
Artificial
Intelligence
Simple
automation
using
software
bots
Consistency
Higher Reliability Of Outcomes
Productivity by automating non-routine
tasks which need a thoughtful consideration
including judgements and conclusions
Accuracy focused on delivering meaningful and
intelligent outputs that matter and have impact
Increased ROI & Cost-reduction by
automating more efficiently and
continuously learning new patterns
Digitally enabled workforce
Automates systematic,
repetitive and rule-based tasks
Focused on performing routine tasks by
following instructions with more
efficiency and less error rate
Machine Learning with
prescriptive analytics and
decision engines.
Artificial Intelligence with
deductive analytics and Natural
Language Processors
Inspiration source: 10xds.com

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WHEN SHOULD YOUR BUSINESS CHOOSE TO IMPLEMENT
Onboarding Process
RPA FOR DIGITAL TRANSFORMATION AI FOR DIGITAL TRANSFORMATION
Report Aggregation
Document Processing
Data Extraction
Scheduling & Tracking
Account Configuration
Forecasting Demand
Customer Segmentation
Fraud Detection
Data Security
Personalisation
Multimedia (Text, Video, Audio) Recognition

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 Reviewed business interest in advancing RPA with AI
 Explored the complementary strengths and weaknesses
of RPA & AI
 Presented the future of RPA in the form of Intelligent
Automation powered by AI
 Discussed how your business can implement such
capabilities
WHAT WE DISCUSSED
INTELLIGENT AUTOMATION
Practical session reviewing the next evolution of robotic process automation
(RPA) as supported by novel approaches enabled by artificial intelligence (AI)

11. www.andremuscat.com
What matters in AI Series
For executives needing to understand the macro and strategic trends in artificial intelligence, its
opportunities and impact from a non-technical perspective.
THANK YOU! WHAT WE EXPLORE NEXT…
AI For
Business
Leaders
1
Utility of AI.
Unleashing new
value across
industries
2
Meet
Generative
AI
3
Intelligent
Automation
(IA)
5
Monetisation
of AI
6
Essentials to
build solutions
with AI
Capabilities
7
Stakeholder
Engagement
in AI Work
8
Risk
Management
in AI Work
9
The Future
of
Productivity
4

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